Artificial Intelligence Based Rapid Identification of ST-elevation Myocardial Infarction Using Electrocardiogram (ARISE)
NCT ID: NCT05118009
Last Updated: 2023-06-22
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
NA
43176 participants
INTERVENTIONAL
2022-05-01
2023-05-31
Brief Summary
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Detailed Description
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Conditions
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Study Design
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RANDOMIZED
PARALLEL
SCREENING
NONE
Study Groups
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Intervention
Patients randomized to intervention will have access to the screening tool.
AI-enabled ECG-based Screening Tool
Primary care clinicians in the intervention group had access to the report, which displayed whether the AI-ECG result was positive or negative.The system will send a message to corresponding physicians if positive finding.
Control
Patients randomized to control will continue routine practice.
No interventions assigned to this group
Interventions
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AI-enabled ECG-based Screening Tool
Primary care clinicians in the intervention group had access to the report, which displayed whether the AI-ECG result was positive or negative.The system will send a message to corresponding physicians if positive finding.
Eligibility Criteria
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Inclusion Criteria
* Patients recieved at least 1 ECG examination.
Exclusion Criteria
18 Years
ALL
No
Sponsors
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National Defense Medical Center, Taiwan
OTHER
Responsible Party
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Chin Lin
Associate Professor
Locations
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National Defense Medical Center
Taipei, , Taiwan
Countries
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Other Identifiers
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NDMC2021003
Identifier Type: -
Identifier Source: org_study_id
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